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  2. Binary Golay code - Wikipedia

    en.wikipedia.org/wiki/Binary_Golay_code

    In mathematics and electronics engineering, a binary Golay code is a type of linear error-correcting code used in digital communications. The binary Golay code, along with the ternary Golay code, has a particularly deep and interesting connection to the theory of finite sporadic groups in mathematics. [1] These codes are named in honor of Marcel J. E. Golay whose 1949 paper [2] introducing ...

  3. Convolutional code - Wikipedia

    en.wikipedia.org/wiki/Convolutional_code

    Convolutional codes are often characterized by the base code rate and the depth (or memory) of the encoder . The base code rate is typically given as , where n is the raw input data rate and k is the data rate of output channel encoded stream. n is less than k because channel coding inserts redundancy in the input bits.

  4. Reed–Muller code - Wikipedia

    en.wikipedia.org/wiki/Reed–Muller_code

    Reed–Muller codes are linear block codes that are locally testable, locally decodable, and list decodable. These properties make them particularly useful in the design of probabilistically checkable proofs . Traditional Reed–Muller codes are binary codes, which means that messages and codewords are binary strings.

  5. Pseudorandom noise - Wikipedia

    en.wikipedia.org/wiki/Pseudorandom_noise

    A pseudo-noise code ( PN code) or pseudo-random-noise code ( PRN code) is one that has a spectrum similar to a random sequence of bits but is deterministically generated. The most commonly used sequences in direct-sequence spread spectrum systems are maximal length sequences, Gold codes, Kasami codes, and Barker codes. [4]

  6. California to tap generative AI tools to increase services ...

    www.aol.com/news/california-tap-generative-ai...

    California could soon deploy generative artificial intelligence tools to help reduce traffic jams, make roads safer and provide tax guidance, among other things, under new agreements announced ...

  7. Reed–Solomon error correction - Wikipedia

    en.wikipedia.org/wiki/Reed–Solomon_error...

    function [decoded, error_pos, error_mag, g, S] = rsDecoder( encoded, m, prim_poly, n, k) % RSDECODER Decode a Reed-Solomon encoded message % Example: % [dec, ~, ~, ~, ~] = rsDecoder(enc_msg, 8, 301, 12, numel(msg)) max_errors = floor((n - k) / 2); orig_vals = encoded.x; % Initialize the error vector errors = zeros(1, n); g = []; S = []; % Get ...

  8. Google’s generative AI fails 'could slowly erode our ... - AOL

    www.aol.com/google-generative-ai-fails-could...

    Google's generative AI flubs could erode consumer trust in the company that's synonymous with finding accurate information online.

  9. Comparison of documentation generators - Wikipedia

    en.wikipedia.org/wiki/Comparison_of...

    Basic general information about the generators, including: creator or company, license, and price.

  10. Linear code - Wikipedia

    en.wikipedia.org/wiki/Linear_code

    In coding theory, a linear code is an error-correcting code for which any linear combination of codewords is also a codeword. Linear codes are traditionally partitioned into block codes and convolutional codes, although turbo codes can be seen as a hybrid of these two types. [1] Linear codes allow for more efficient encoding and decoding algorithms than other codes (cf. syndrome decoding ...

  11. Parity-check matrix - Wikipedia

    en.wikipedia.org/wiki/Parity-check_matrix

    Parity-check matrix. In coding theory, a parity-check matrix of a linear block code C is a matrix which describes the linear relations that the components of a codeword must satisfy. It can be used to decide whether a particular vector is a codeword and is also used in decoding algorithms.